ANTLR(ANother Tool for Language Recognition,另一种语言识别工具)是一个强大的解析器生成器,用于读取、处理、执行或转换结构化文本或二进制文件。
language-recognition 开源项目推荐(51 个)
language-recognition 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 51 个仓库Python最准确的自然语言检测库,适合短文本和混合语言文本
The most accurate natural language detection library for Go, suitable for short text and mixed-language text
The most accurate natural language detection library for Rust, suitable for short text and mixed-language text
Rust 自然语言检测库。在线试用演示:https://whatlang.org/
The most accurate natural language detection library for Java and the JVM, suitable for long and short text alike
[EMNLP 2023] 💬 Language Identification with Support for More Than 2000 Labels
Implementation of the paper "Spoken Language Recognition using X-vectors" in Pytorch
A TensorFlow-based spoken language identification
Faster, modernized fork of the language identification tool langid.py
End-to-end spoken language identification out of the box.
Natural language detection library for .NET, suitable for long and short text alike
该项目在 GitHub 上没有填写描述
📚 Сборник полезных штук из Natural Language Processing: Определение языка текста, Разделение текста на предложения, Получение основного содержимого из html документа
Collection of self-supervised models for speaker and language recognition tasks.
Dialect identification using Siamese network
Knife is a Java top-down parser generator for building parsers from grammars in BNF format.
The LALR parser generator (LPG) is a tool for developing scanners and parsers. Supports multi-language . Input is specified by BNF rules. LPG supports backtracking (to resolve ambiguity), automatic AST generation and grammar inheritance.
Language Detection Library
Multi-label MFoM Framework for Speech Articulatory Attributes Detection
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/language-recognition。
- 该话题在 GitHub 上共有 51 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 2.6 万 Star,覆盖 10 种主要语言,数据更新于 2026-11-06。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。